搜索资源列表
white
- 为我们提供了一段白噪声数据产生的matlab程序-to provide us with a white noise of data procedures Matlab
uwbbpsk
- 用matlab编辑的关于超宽带通信的BPSK调制的误码率分析,系统仿真时加入高斯白噪声,仿真结果给出了时域和频域图-BER analysis of the ultra wide bank BPSK communication channel with AWGN, time and spectrum figures are given in the end.
uwbppm
- 经PPM调制的超宽带信号经高斯白噪声信道的系统仿真,给出了时域和频域图-After the PPM modulation ultra-wide band signal after the Gauss white noise channel system simulation,and give the time domain and the frequency range chart!
burg
- 用Burg算法估计AR模型参数,进而实现功率谱估计. 形参说明: x——双精度实型一维数组,长度为n,存放随机序列。 n--整型变量,随机序列的长度。 p--整型变量,AR模型的阶数。 a--双精度实型一维数组,长度为(p十1)。存放AR模型的系数a(0),a(1),...,a(p)。 v--双精度实型指针,它指向预测误差功率,即AR模型激励白噪声的方差。 -with Burg algorithm estimates AR model parameters, ther
psd
- 计算ARMA(p,q)模型的功率谱密度。 形参说明: b——双精度实型一维数组,长度为(q+1),存放ARMA(p,q)模型的滑动平均系数。 a——双精度实型一维数组,长度为(p+1),存放ARMA(p,q)模型的自回归系数。 q——整型变量,ARMA(p,q)模型的滑动平均阶数。 p——整型变量,ARMA(p,q)模型的自回归阶数。 sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。 fs——双精度实型变量,采样频率(Hz)。
gngauss
- 高斯白噪声的算法源代码,用于通信系统的matlab编程-Gaussian white noise algorithm source code for communications systems Matlab programming
2ASK
- 不用matlab里面的函数,自己写出来的2ASK的仿真程序,加入了白噪声,经过滤波后的波形有些变形,可能是滤波器的原因。仅供参考。-inside Matlab not a function of their 2ASK written by the simulation program, joined the white noise, filtered waveforms after some deformation, the filter may be reasons. For referenc
signal
- 产生带白噪声的正弦信号组合,并用自适应滤波器滤除-white noise generated with the combination of sinusoidal signal, and uses an adaptive filter to filter
LMS11
- 自己编的LMS自适应算法的MATLAB源程序 本程序内容: 产生一个信号+白噪声序列,用lms算法自适应去除噪声; lmsx.m为自适应函数 task2.m为主函数,其中调用lmsx.m -own series of the LMS algorithm MATLAB source of this program : produce a white noise signal sequence, using LMS adaptive algorithm for removing
MATLABgaussian
- MATLAB中产生高斯白噪声的两个函数 一个是WGN,另一个是AWGN-MATLAB generated white Gaussian noise is a function of two drawings, and the other is AWGN
4PSK
- 实现4psk调制的源程序,以及对应的在白噪声信道下的系统性能-achieve 4psk modulation source, as well as corresponding white noise in the channel system performance
16QAM
- 实现16QAM的算法程序,包含在白噪声信道条件下的性能实现程序-achieve 16QAM algorithm procedures contained in the white noise channel conditions of the performance of procedures
wgn
- 产生高斯白噪声,使用matlab编辑及仿真,均值为零-have a Gaussian white noise, editing and the use of Matlab simulation, mean zero
yesignal
- 信号生成:可以生成各种类型的信号包括正弦波、方波、三角波、扫频信号、调幅波、白噪声、窄带随机信号等-signal generation : can generate all types of signals, including sine, square, triangle wave, sweep signal amplitude wave, white noise, narrowband random signals
white_noise
- %利用乘同余法写的白噪声程序 %对于辨识有一定帮助 %相关方法可以参照乘同余法原理
white_noise1
- 利用混和同余法编写的白噪声程序 Matlab开发环境-I use the same mixture prepared by the Law white noise process development environment Matlab
white_noise2
- 利用随机方法产生-1 +1 分布的白噪声-using random methods -1 1 distribution of white noise
whitenoise
- matlab 的白噪声, -Matlab white noise, the white noise Matlab and Matlab white noise, the white noise Matlab,
05041062qpsk-fading
- 带瑞丽衰落信道高斯白噪声的QPSK调制解调信道,可以得到功率谱波形和星座图-with Ruili fading channel Gaussian white noise QPSK demodulator access that can be power spectrum waveform and constellation
disp_rand
- 本程序用matlab生成白噪声,并且基于一个离散线性随机系统的模型生成了y(k)和x(k),绘制出了x(k|k-1)和x(k)的对比曲线,求出了提前一步预报的误差协方差阵的稳定值-the procedures used Matlab generate white noise, and on a discrete linear stochastic systems model generated y (k) and x (k), mapping out the x (k | k-1) and x